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"In statistical inference for proportions, standard error (SE) is calculated differently for hypothesis tests and confidence intervals." Which of the following is the best justification for this statement? A. Because in hypothesis testing, we assume the null hypothesis is true, hence we calculate SE using the null value of the parameter. In confidence intervals, there is no null value, hence we use the sample proportion(s). B. Because in hypothesis testing we're interested in the variability of the true population distribution, and in confidence intervals we're interested in the variability of the sampling distribution. C. Because if we used the same method for hypothesis tests as we did for confidence intervals, the calculation would be impossible. D. Because statistics is full of arbitrary formulas.

User El Ninho
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Statistics show that BxA=9
User SpaxxUnited
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